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University of Manchester: Economics and Data Science
| Institution | University of Manchester |
|---|---|
| Department | School of Social Sciences |
| Web | https://www.manchester.ac.uk |
| pg-soss@manchester.ac.uk | |
| Telephone | +44 (0) 161 306 5500 |
| Study type | Taught |
MSc
Summary
The global demand for economics graduates with advanced data science skills continues to grow rapidly in the modern economy. Public and private sector organisations are increasingly relying on data science to offer new insights on issues in economics, econometrics, and finance. At the same time, governments and central banks use data science techniques to inform the formulation and evaluation of economic policy.
Our MSc Economics and Data Science offers comprehensive training in the use of data science methods to analyse economic issues. You will cover economic and data science theory, methods and techniques, and applications to real-world problems.
The course combines rigorous training in key principles with some flexibility to tailor your studies to specific areas of interest in economics. Your core training will cover:
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Economic theory;
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Econometric methods;
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Data science and machine learning;
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Programming and other data science skills.
Areas of specialisation through optional course units include:
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Financial econometrics;
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Healthcare economics;
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Economics of environmental policy.
With hands-on training and a focus on practical application, this course is designed to prepare you for a successful career in a variety of roles, for example as an economist, data analyst, researcher, or consultant, in leading organisations across government, banking / finance, or the private sector.
This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A UK 2:1 honours degree (or overseas equivalent) in economics or another quantitative subject, such as mathematics, physics or computer science. This training must include a significant number of mathematical, econometrics and/or statistical courses, including advanced options in which top-level marks have been achieved, and a solid background in a statistical programming language such as R, Python, Julia or MATLAB. When assessing your academic record, we consider the grades you have achieved and the standing of the institution where you studied your qualification. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
Summary
With the emergence of data science and its successful application in many fields, there is growing interest in both the public and private sectors to explore what new insights these methods can offer on issues in economics, econometrics and finance. For governments and central banks, there is particular interest in how data science techniques can inform the formulation and evaluation of economic policy.
This programme offers a comprehensive training in the use of data science methods to analyse economic issues, covering theories, methods and applications to real world problems. The programme is designed to prepare students for employment as economic data analysts in government, central banks or the private sector.
The University of Manchester is a leading centre for economics and research-led teaching. Many famous names from the world of economics have worked here, including three Nobel Prize winners. Graduate students from across the globe come here to study economics, attracted by our first-class postgraduate training and supervision in the core and specialist areas of economics.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A UK 2:1 honours degree (or overseas equivalent) in economics or another quantitative subject, such as mathematics, physics or computer science. This training must include a significant number of mathematical, econometrics and/or statistical courses, including advanced options in which top-level marks have been achieved, and a solid background in a statistical programming language such as R, Python, Julia or MATLAB. For applicants with a degree in subjects other than economics, a significant exposure to economics courses is required. When assessing your academic record, we consider the grades you have achieved and the standing of the institution where you studied your qualification. |
| Location | Main Site University Recruitment And Adm Oxford Road Manchester M13 9PL |
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